Implementation of Adaptive Real-Time Camouflage System in Visible-Light Band

This paper presents an adaptive camouflage system in visible band, featuring a dominant color feature-matching algorithm and pulse width modulation (PWM)-based display driving circuit. The control system consists of three parts, namely, the background sensing part, the central processing part, and the physical driving waveform generation part. Images of the local environment are sampled by the background sensing part, and then the dominant color feature matching algorithm is conducted to select a proper camouflage image that matches the local environment. Consequently, the cholesteric liquid crystals (CLCs) display using amplitude adjustable AC voltage, which is modulated by the physical driving waveform generation unit. The experimental results show that the matching degree of the proposed algorithm was 2.47 times that of the conventional hue (H), saturation (S), and value (V) histogram camouflage evaluation method, while the output peak wavelength of the reflective band can be adjusted from 604 to 544 nm according to the ambient color profile.

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An Effective Similarity Measurement Algorithm for Dominant Color Feature Matching in Image Retrieval

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.182-183.1169 ◽

2012 ◽

Vol 182-183 ◽

pp. 1169-1173

Author(s):

Li Fang Yang ◽

Xiang Lin Huang ◽

Rui Lv ◽

Hui Lv

Keyword(s):

Image Retrieval ◽

Feature Matching ◽

Color Space ◽

Similarity Measurement ◽

Average Precision ◽

Image Region ◽

Color Feature ◽

Color Distribution ◽

Dominant Color ◽

Measurement Algorithm

For the reason that dominant colors can characterize color information of image region and can represent the image using fewer dimensions, it is one of the widely used color features in image retrieval. We extract the dominant color feature in HSV color space, and combine it with color distribution information. In this paper, a new similarity measurement algorithm based on block distance is proposed for dominant color matching. Our proposed algorithm not only takes the distance between dominant colors into account, but also the difference of the percentage of dominant colors. The average precision of our algorithm improves about 5% and about 14% respectively compared with block distance and Euclidean distance. Although the average precision of our algorithm is almost equal to quadratic form distance, the computation cost of our algorithm is obviously less than it.

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Medical Image Feature Matching Based on Wavelet Transform and SIFT Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.65.497 ◽

2011 ◽

Vol 65 ◽

pp. 497-502

Author(s):

Yan Wei Wang ◽

Hui Li Yu

Keyword(s):

Wavelet Transform ◽

Wavelet Transforms ◽

Medical Image ◽

Feature Matching ◽

Image Feature ◽

Scale Invariant ◽

Sift Algorithm ◽

Matching Algorithm ◽

Invariant Feature ◽

Scale Invariant Feature

A feature matching algorithm based on wavelet transform and SIFT is proposed in this paper, Firstly, Biorthogonal wavelet transforms algorithm is used for medical image to delaminating, and restoration the processed image. Then the SIFT (Scale Invariant Feature Transform) applied in this paper to abstracting key point. Experimental results show that our algorithm compares favorably in high-compressive ratio, the rapid matching speed and low storage of the image, especially for the tilt and rotation conditions.

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Medical Device Insurance Fund Management and Risk Prevention and Control Based on Feature Matching Algorithm

10.1145/3482632.3483998 ◽

2021 ◽

Author(s):

Lesheng Jiang

Keyword(s):

Medical Device ◽

Prevention And Control ◽

Feature Matching ◽

Risk Prevention ◽

Insurance Fund ◽

Fund Management ◽

Matching Algorithm ◽

And Control

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A Edge Feature Matching Algorithm Based on Evolutionary Strategies and Least Trimmed Square Hausdorff Distance

Lecture Notes in Computer Science - Advances in Natural Computation ◽

10.1007/11881070_65 ◽

2006 ◽

pp. 475-478

Author(s):

Li JunShan ◽

Han XianFeng ◽

Li Long ◽

Li Kun ◽

Li JianJun

Keyword(s):

Hausdorff Distance ◽

Feature Matching ◽

Evolutionary Strategies ◽

Matching Algorithm ◽

Edge Feature

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Feature Matching Algorithm of Trees in Natrual Scenery

2009 International Conference on Information Technology and Computer Science ◽

10.1109/itcs.2009.89 ◽

2009 ◽

Author(s):

Yan Yuqin ◽

Diao Xunlin ◽

He Shujuan ◽

Cheng Lin ◽

Ma Lvzhou ◽

...

Keyword(s):

Feature Matching ◽

Matching Algorithm

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Feature matching algorithm based on KAZE and fast approximate nearest neighbor search

Proceedings of the 3rd International Conference on Computer Science and Service System ◽

10.2991/csss-14.2014.63 ◽

2014 ◽

Author(s):

Cai Ze-Ping ◽

Xiao De-Gui

Keyword(s):

Nearest Neighbor ◽

Feature Matching ◽

Nearest Neighbor Search ◽

Matching Algorithm ◽

Approximate Nearest Neighbor Search ◽

Approximate Nearest Neighbor ◽

Neighbor Search

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Application of improved chaos theory genetic multi feature matching algorithm in patent retrieval

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-018-1009-7 ◽

2018 ◽

Cited By ~ 3

Author(s):

Feng Feng ◽

Xingteng Li

Keyword(s):

Chaos Theory ◽

Feature Matching ◽

Matching Algorithm ◽

Patent Retrieval

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A monocular visual measurement system for UAV probe-and-drogue autonomous aerial refueling

International Journal of Intelligent Computing and Cybernetics ◽

10.1108/ijicc-06-2017-0067 ◽

2018 ◽

Vol 11 (2) ◽

pp. 166-180 ◽

Cited By ~ 2

Author(s):

Long Xin ◽

Delin Luo ◽

Han Li

Keyword(s):

Measurement System ◽

Feature Matching ◽

Perspective Transformation ◽

High Accuracy ◽

Noise Elimination ◽

Aerial Refueling ◽

Visual Measurement ◽

Matching Algorithm ◽

Content Type ◽

Elimination Algorithm

PurposeThe purpose of this paper is to develop a monocular visual measurement system for autonomous aerial refueling (AAR) for unmanned aerial vehicle, which can process images from an infrared camera to estimate the pose of the drogue in the tanker with high accuracy and real-time performance.Design/methodology/approachMethods and techniques for marker detection, feature matching and pose estimation have been designed and implemented in the visual measurement system.FindingsThe simple blob detection (SBD) method is adopted, which outperforms the Laplacian of Gaussian method. And a novel noise-elimination algorithm is proposed for excluding the noise points. Besides, a novel feature matching algorithm based on perspective transformation is proposed. Comparative experimental results indicated the rapidity and effectiveness of the proposed methods.Practical implicationsThe visual measurement system developed in this paper can be applied to estimate the pose of the drogue with a fast speed and high accuracy and it is a feasible measurement strategy which will considerably increase the autonomy and reliability for AAR.Originality/valueThe SBD method is used to detect the features and a novel noise-elimination algorithm is proposed. Besides, a novel feature matching algorithm based on perspective transformation is proposed which is robust and accurate.

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